In this module, we will take some time to examine the art of configuring Google Cloud services for observability.

Monitoring is all about keeping track of exactly what's happening with the resources we've spun up inside of Google's Cloud. In this module, we'll take a look at options and best practices as they relate to monitoring project architectures. We'll differentiate the core Cloud IAM roles needed to decide who can do what as it relates to monitoring. Just like architecture, this is another crucial early step. We will examine some of the Google created default dashboards, and see how to use them appropriately. We will create charts and use them to build custom dashboards to show resource consumption and application load. And, finally, we will define uptime checks to track liveliness and latency.

When deploying applications to Google Cloud, the Application Performance Management products provide a suite of tools to give insight into how your code and services are functioning, and to help troubleshoot where needed.

In our final module we discuss optimizing the costs for Google Cloud Observability. Specifically, you will learn to analyze resource utilization costs for operations related components within Google Cloud, and implement best practices for controlling the cost of operations within Google Cloud.

We will summarize the topics covered in this couse.

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